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- Análise grátis de aplicativos
- ACROP Agriculture with AI
ACROP Agriculture with AI análises de aplicativos para 25 de setembro
ACROP Agriculture with AI
- ACROP TECHNOLOGIES (OPC) PRIVATE LIMITED
- Apple App Store
- Pagos
- Referência
ACROP Agriculture with AI is an educational and reference-based agriculture app designed to help Indian farmers and agriculture enthusiasts better understand crop health and crop-related issues using artificial intelligence.
The app provides AI-powered insights that help users explore possible crop concerns and learn about common pests, diseases, weeds, and crop protection practices. ACROP is built to simplify agricultural information and present it in a practical, easy-to-understand format for everyday use.
Key Features:
• AI-Powered Crop Insights – Learn about possible crop issues by describing symptoms or sharing crop photos
• Comprehensive Knowledge Base – Explore information on 1,200+ crop protection products covering 78+ crops, 300+ diseases, 290+ insects, and 260+ weeds
• Multi-Language Support – Available in Hindi, Marathi, and English for wider accessibility
• Product Information – Learn about commonly used pesticides, fungicides, herbicides, and their general usage practices
• Simple Interface – Designed with farmers in mind for easy navigation
• Free to Use – No subscription required
Why ACROP?
Indian farmers often receive crop-related suggestions based on local availability rather than complete informational context. ACROP aims to provide structured, science-based reference information to help users better understand crop conditions and available options.
Disclaimer:
ACROP Agriculture with AI is intended for informational and educational purposes only. The app does not replace professional agricultural advice, diagnostics, or expert consultation. Users are encouraged to use the information as a learning reference and consult local agricultural experts when needed.
By combining agriculture knowledge with modern AI technology, ACROP supports informed learning and a better understanding of crop-related challenges.
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